Install
$ agentstack add skill-wangyendt-wayne-skills-chat-ollama-gradio ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Pywayne Chat Ollama Gradio
This module provides a Gradio-based web chat interface for Ollama models with multi-session support.
Quick Start
from pywayne.llm.chat_ollama_gradio import OllamaChatGradio
# Create and launch chat interface
app = OllamaChatGradio(
base_url="http://localhost:11434/v1",
server_port=7870
)
app.launch()
Configuration
| Parameter | Default | Description | |-----------|---------|-------------| | base_url | "http://localhost:11434/v1" | Ollama API base URL | | server_name | "0.0.0.0" | Server host name | | server_port | 7870 | Server port | | root_path | "" | Root path for reverse proxy | | api_key | "ollama" | API key (for Ollama compatibility) |
Model Discovery
Automatically discovers available Ollama models by running ollama list:
- Excludes models with 'embed' in the name
- Falls back to
qwen2.5:0.5bif no models found
Session Management
Creating New Sessions
# UI method: Click "新建会话" button
new_chat_id, new_history, new_choices = app.create_new_chat()
Switching Sessions
# UI method: Select from "历史会话" radio list
history = app.switch_chat(selected_chat_id)
API Reference
OllamaChatGradio
| Method | Description | |---------|-------------| | get_ollama_models() | Get list of available Ollama models | | init_chat_manager() | Initialize ChatManager instance | | create_new_chat() | Create new chat session, returns (chatid, history, radioupdate) | | switch_chat(chat_id) | Switch to specified chat session | | format_history(history) | Format history for display | | chat(message, history, model_name) | Process chat message with streaming | | create_demo() | Create Gradio interface | | launch() | Launch Gradio server |
UI Components
| Component | Description | |-----------|-------------| | chatbot | Main chat display area | | msg | Message input textbox | | model_dropdown | Model selection dropdown | | chat_id_text | Current session ID (read-only) | | new_chat_btn | Button to create new session | | chat_history_list | Radio list for session switching |
Requirements
gradio- Web UI frameworkpywayne.llm.chat_bot- ChatManager and LLMConfigollamaCLI - Must be installed and accessible
Notes
- Uses ChatManager for multi-session support
- Streaming responses update UI in real-time
- Session history persists in memory (not persistent)
- Requires Ollama to be running before launching
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: wangyendt
- Source: wangyendt/wayne-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.